I 256: Applied Natural Language Processing
   Fall 2006, Prof. Marti Hearst

Course Information

Administrivia

Instructor:

Marti Hearst (hearst@sims)
212 South Hall, 510-642-8016
Office Hours: Mondays 3-4pm, Thursdays 11am-12pm

TA (informally):

Preslav Nakov (nakov@sims)
Lab / Office hours: Mondays 3-4pm

Class Meetings

Class meets on Monday and Wednesday from 10:30-12:00 in 202 South Hall. The format of the class will be primarily lecturing and in-class experimentation with NLP software.

Prerequisites

IS206, a CS background, or equivalent. This class will involve using various software tools and writing code to glue them together. We will be using the Python programming language.

Grading

Grading will be a mix of 50% homework assignments and 50% final project.

Late Policy

Late assignments will be penalized with a reduction in grade unless otherwise approved by the instructor.

Readings and Books

Unfortunately, there really is not appropriate textbook for this course. Instead we will be reading online readings and handouts.

Students will need to learn a bit of Python programming for this course, and so an introductory Python book is recommended.

See resources for suggested books.